Algorithm Engineer

About the job

Enovix (Nasdaq: ENVX) is an advanced silicon battery company based in Fremont, Calif.

Enovix is on a mission to power the technologies of the future. Everything from IoT, mobile and computing devices, to the vehicle you drive, needs a better battery. Our disruptive architecture enables a battery with high energy density and capacity without compromising safety. We are scaling our silicon-anode, lithium-ion battery manufacturing capabilities to meet customer demand. For more information visit https://www.enovix.com/ and follow us on LinkedIn.

This is an exciting time at Enovix! We are looking for experienced candidates to help support our new lithium-ion battery production facility in Penang, Malaysia for commercialization of our 3D Silicon™ Lithium-ion Rechargeable Battery.

Job Summary:

We are looking for an Algorithm Engineer to support advanced battery manufacturing by developing data-driven and physics-informed algorithms that improve yield, quality, and throughput. This role focuses on leveraging manufacturing data, process signals, and inspection systems to optimize cell performance and enable scalable, high-volume production. The ideal candidate combines strong analytical skills with a deep interest in electrochemical systems and smart manufacturing.

Responsibilities:

Equipment Data Acquisition & Connectivity

• •Develop and implement edge data acquisition solutions for manufacturing equipment.
• •Establish equipment communication standards for new equipment installations.
• •Integrate equipment with MES, HMI, PLC, SCADA, and other manufacturing systems.
• •Design and maintain equipment connectivity architecture across production lines.

Manufacturing Data Infrastructure

• •Build automated data collection pipelines to replace manual reporting processes.
• •Develop scalable data architecture for manufacturing analytics.
• •Ensure high-quality, reliable equipment operational data for business reporting.
• •Support data governance, standardization, and system integration.

Manufacturing Analytics & AI

• •Develop equipment monitoring and performance analytics.
• •Generate automated manufacturing KPIs including:
• •MTBA (Mean Time Between Assists)
• •MTBF (Mean Time Between Failures)
• •MTTR (Mean Time To Repair)

• •Improve statistical reliability of manufacturing data.
• •Support variation analysis and statistical process monitoring.

AI & Smart Manufacturing

• •Deploy AI solutions for equipment monitoring and process optimization.
• •Support predictive analytics and anomaly detection.
• •Collaborate with manufacturing engineering teams to improve operational efficiency.
• •Support MLOps deployment and lifecycle management.

Compliance & Standardization

• •Establish equipment IT standards for future equipment purchases.
• •Support equipment calibration and cybersecurity compliance.
• •Develop operational standards and documentation for manufacturing data systems.

Qualifications:

• •Bachelor's degree in Electrical Engineering, Electronics Engineering, Computer Engineering, Data Engineering, Computer Science, or related discipline.
• •Experience with manufacturing equipment integration and industrial communication.
• •Knowledge of PLC, HMI, MES, OPC-UA, Modbus, Ethernet/IP or similar industrial protocols.
• •Experience in manufacturing data acquisition and equipment connectivity.
• •Understanding of SQL, Python, or other data processing tools.
• •Knowledge of manufacturing KPIs and equipment performance analysis.

Preferred Qualifications

• •Experience in battery, semiconductor, electronics, or automated manufacturing industries.
• •Experience with Industrial IoT (IIoT).
• •Knowledge of Edge Computing technologies.
• •Experience with AI/ML deployment in manufacturing.
• •Understanding of MLOps.
• •Experience with cloud-based manufacturing analytics.
• •Knowledge of statistical analysis and process optimization.

Preferred Skills

• •Equipment Data Acquisition
• •Manufacturing Data Analytics
• •Edge Computing
• •Industrial Networking
• •AI Deployment
• •Manufacturing KPI Development
• •Data Architecture
• •Industrial Automation
• •Smart Factory
• •Process Optimization

Key Deliverables

• •Automated equipment data acquisition system implementation
• •Standardized equipment connectivity architecture
• •Automated MTBA / MTBF / MTTR reporting
• •Manufacturing analytics dashboard development
• •Equipment IT standards for future production lines
• •AI-enabled equipment monitoring and optimization